Title :
Iterative image reconstruction: a wavelet approach
Author :
Rabadi, Wissam A. ; Myler, Harley R.
Author_Institution :
New Bus. Dev. Group, Texas Instrum. Inc., Houston, TX, USA
Abstract :
Image reconstruction from the measurements of the image Fourier transform magnitude remains an important and difficult problem. Among all the approaches developed to solve this problem, the iterative transform algorithms are currently the most efficient. However, these algorithms suffer from major drawbacks that limit their practical application. We introduce a wavelet adaptation of the general iterative algorithm that can significantly improve the performance of the algorithm while dramatically reducing its computational complexity.
Keywords :
Fourier transforms; computational complexity; image reconstruction; image resolution; iterative methods; wavelet transforms; algorithm performance; computational complexity reduction; image Fourier transform magnitude measurements; image resolution; iterative image reconstruction; iterative transform algorithms; wavelet adaptation; wavelet approach; Computational complexity; Convergence; Fourier transforms; Image reconstruction; Image retrieval; Iterative algorithms; Iterative methods; Optical signal processing; Signal processing algorithms; Yield estimation;
Journal_Title :
Signal Processing Letters, IEEE
